Representation Learning

The Manifold Tangent Classifier NeurIPS 2011 Deep Coding Network NeurIPS 2010 Generative Local Metric Learning for Nearest Neighbor Classification NeurIPS 2010 Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010 Kernel Descriptors for Visual Recognition NeurIPS 2010 Layer-wise analysis of deep networks with Gaussian kernels NeurIPS 2010 Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine NeurIPS 2010 Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NeurIPS 2010 Size Matters: Metric Visual Search Constraints from Monocular Metadata NeurIPS 2010 Efficient Match Kernel between Sets of Features for Visual Recognition NeurIPS 2009 Learning transport operators for image manifolds NeurIPS 2009 Nonlinear Learning using Local Coordinate Coding NeurIPS 2009 On Invariance in Hierarchical Models NeurIPS 2009 Polynomial Semantic Indexing NeurIPS 2009 Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NeurIPS 2009 Differentiable Sparse Coding NeurIPS 2008 Dimensionality Reduction for Data in Multiple Feature Representations NeurIPS 2008 Learning Transformational Invariants from Natural Movies NeurIPS 2008 On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing NeurIPS 2008 Spectral Hashing NeurIPS 2008 Supervised Dictionary Learning NeurIPS 2008 The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction NeurIPS 2008 Using matrices to model symbolic relationship NeurIPS 2008 Learning Horizontal Connections in a Sparse Coding Model of Natural Images NeurIPS 2007 Sparse Feature Learning for Deep Belief Networks NeurIPS 2007